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Quarterly Broiler Price Forecasting Models by David Kenyon Suggested citation format: Kenyon, D. 1981. “Quarterly Broiler Price Forecasting Models.” Proceedings of the NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management. Ames, IA. [http://www.farmdoc.uiuc.edu/nccc134].

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Page 1: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale

Quarterly Broiler Price Forecasting Models

by

David Kenyon

Suggested citation format:

Kenyon, D. 1981. “Quarterly Broiler Price Forecasting Models.” Proceedings of the NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management. Ames, IA. [http://www.farmdoc.uiuc.edu/nccc134].

Page 2: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
Page 3: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
Page 4: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
Page 5: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
Page 6: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
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Page 8: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
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Page 22: Quarterly Broiler Price Forecasting Models · production and marketing decisions . The objective of this study is to develop price forecasting models which predict quarterly wholesale
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